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Mapping disease critical spatially variable gene programs by integrating spatial transcriptomics with human genetics

2025-09-25

Abstract excerpt

Spatial gene expression patterns underlie tissue organization, development, and disease, yet current methods for detecting spatially variable genes (SVGs) lack the flexibility to capture multi-scale structure, ensure robustness across platforms, and integrate with genetic data to assess disease relevance. We present Spacelink, a unified framework that models spatial variability of a gene at both whole-tissue and c...

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Identifiers and source

Literature Corpus work
e53fd378-ff38-5f5a-81b2-f2a3f6c30679
DOI
10.1101/2025.09.24.678397
Open publication

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Mapping disease critical spatially variable gene programs by integrating spatial transcriptomics with human geneticsDOI 10.1101/2025.09.24.678397
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